AAAI-MAKE 2021
Combining Machine Learning and Knowledge Engineering

Table of Contents

• AAAI-MAKE 2021: Combining Machine Learning and Knowledge Engineering
  Andreas Martin, Knut Hinkelmann

Regular Papers

• Supporting Case-Based Reasoning with Neural Networks: An Illustration for Case Adaptation
  David Leake, Xiaomeng Ye, David Crandall
• Anomaly Detection in Railway Infrastructure
  David Morandi, Stephan Jüngling
• ZERO – Detect objects without training examples by knowing their parts
  Gertjan J. Burghouts, Fieke Hillerström
• Knowledge Infused Policy Gradients for Adaptive Pandemic Control
  Kaushik Roy, Qi Zhang, Manas Gaur, Amit Sheth
• Neural-Symbolic Integration for Fairness in AI
  Benedikt Wagner, Artur d’Avila Garcez
• Ontology-based Transfer Learning in the Airport and Warehouse Logistics Domains
  Miriam Herold, Mirjam Minor
• Fit to Measure: Reasoning About Sizes for Robust Object Recognition
  Agnese Chiatti, Enrico Motta, Enrico Daga, Gianluca Bardaro
• Neuro-Symbolic Deductive Reasoning for Cross-Knowledge Graph Entailment
  Monireh Ebrahimi, Md Kamruzzaman Sarker, Federico Bianchi, Ning Xie, Aaron Eberhart, Derek Doran, HyeongSik Kim, Pascal Hitzler
• "Is depression related to cannabis?": A knowledge-infused model for Entity and Relation Extraction with Limited Supervision
  Kaushik Roy, Usha Lokala, Vedant Khandelwal, Amit Sheth
• Deep Learning Approaches for Forecasting Strawberry Yields and Prices Using Satellite Images and Station-Based Soil Parameters
  Mohita Chaudhary, Mohamed Sadok Gastli, Lobna Nassar, Fakhri Karray
• Improving Machine Learning Performance Using Conceptual Modeling
  Arturo Castellanos, Alfred Castillo, Monica Chiarini Tremblay, Roman Lukyanenko, Jeffrey Parsons, Veda C. Storey
• Decision Support combining Machine Learning, Knowledge Representation and Case-Based Reasoning
  Carlo Mehli, Knut Hinkelmann, Stephan Jüngling
• Hybrid AI using Graph Neural Networks in Scene Classification
  Maaike H.T. de Boer, Fieke Hillerströmb
• Batch-like Online Learning for More Robust Hybrid Artificial Intelligence: Deconstruction as a Machine Learning Process
  Thomas Schmid
• Team Design Patterns for Moral Decisions in Hybrid Intelligent Systems: A Case Study of Bias Mitigation
  Jip J. van Stijn, Mark A. Neerincx, Annette ten Teije, Steven Vethman
• Enhancement of Record Linkage by Using Attributes containing Natural Language Text
  Philipp Behnen, Felix Kruse, Jorge Marx Gómez
• Evaluating Artificial Short Message Service Campaigns Through Rule Based Multi-instance Multi-label Classification
  Johannes Sahlin, Håkan Sundell, Håkan Alm, Jesper Holgersson
• Capturing Knowledge of Emerging Entities from Extended Search Snippets
  Sunday C. Ngwobia, Saeedeh Shekarpour, Faisal Alshargi
• EmEL++: Embeddings for EL++ Description Logic
  Sutapa Mondal, Sumit Bhatia, Raghava Mutharaju
• Guiding Parameter Estimation of Agent-Based Modeling Through Knowledge-Based Function Approximation
  William Broniec, Sungeun An, Spencer Rugaber, Ashok K. Goel
• Towards Unsupervised Knowledge Extraction
  Dorothea Tsatsou, Konstantinos Karageorgos, Anastasios Dimou, Javier Carbo, Jose M. Molina, Petros Daras
• Exploring the Hyperparameters of XGBoost Through 3D Visualizations
  Ole-Edvard Ørebæk, Marius Geitle
• Hybrid Conversational AI for Intelligent Tutoring Systems
  Charuta Pande, Hans Friedrich Witschel, Andreas Martin, Devid Montecchiari
• Semantic Enrichment of Pretrained Embedding Output for Unsupervised IR
  Edmund Dervakos, Giorgos Filandrianos, Konstantinos Thomas, Alexios Mandalios, Chrysoula Zerva, Giorgos Stamou
• Evaluation of Machine Learning Algorithms in a Human-Computer Hybrid Record Linkage System
  Mahin Ramezani, Guru Ilangovan, Hye-Chung Kum
• XAI for Operations in the Process Industry – Applications, Theses, and Research Directions
  Arzam Kotriwala, Benjamin Kloepper, Marcel Dix, Gayathri Gopalakrishnan, Dawid Ziobro, Andreas Potschka
• SAMS: Human-in-the-loop Approach to Combat the Sharing of Digital Misinformation
  Shaban Shabani, Zarina Charlesworth, Maria Sokhn, Heiko Schuldt
• Towards Automatic Ontology Alignment using BERT
  Sophie Neutel, Maaike H.T. de Boer
• Towards Kinematically Constrained Real Time Human Pose Estimation using Sparse IMUs
  Deepak Nagaraj, Rhett Dobinson, Dirk Werth
• A Recap of Early Work on Theory and Knowledge Refinement
  Raymond J. Mooney, Jude W. Shavlik
• Using a General Prior Knowledge Graph to Improve Data-Driven Causal Network Learning
  Meghamala Sinha, Stephen A. Ramsey
• Implications of Combining Domain Knowledge in Explainable Artificial Intelligence
  Sheikh Rabiul Islam, William Eberle
• The Significance of Computational Performance for Enterprise AI in Question-Answering
  Jan Meiswinkel, Patrick Levi, Rainer Hoch
• Learning Profile-Based Recommendations for Medical Search Auto-Complete
  Guusje Boomgaard, Selene Báez Santamaría, Ilaria Tiddi, Robert Jan Sips, Zoltán Szlávik
• The FATE System: FAir, Transparent and Explainable Decision Making
  Joachim de Greeff, Maaike H.T. de Boer, Fieke H. J. Hillerström, Freek Bomhof, Wiard Jorritsma, Mark Neerincx
• A Neural-Symbolic Approach for User Mental Modeling: A Step Towards Building Exchangeable Identities
  Hossein Rahnama, Marjan Alirezaie, Alex Pentland
• Automated Construction of Knowledge-Bases for Safety Critical Applications: Challenges and Opportunities
  Amit Bhatia, Alessandro Pinto
• Using Camera-Drones and Artificial Intelligence to Automate Warehouse Inventory
  René Kessler, Christian Melching, Ralph Goehrs, Jorge Marx Gómez
• Towards More Robust Fashion Recognition by Combining Deep-Learning-Based Detection with Semantic Reasoning
  Achim Reiz, Mohamad Albadawi, Kurt Sandkuhl, Matthias Vahl, Dennis Sidin

Demonstration Abstracts

• Knowledge Engineering with Image Data in Real-World Settings
  Margaret Warren, David A. Shamma, Patrick Hayes